Ming Li

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Ming Li
''Shuang Long Scholar'' Distinguished Professor
Institute of Electrical and Electronics Engineers (IEEE) Member
Chinese Association for Artificial Intelligence (CAAI) Member
China Computer Federation (CCF) Member
Australian Mathematical Society (AustMS) Accredited Member
Zhejiang Normal University

Email: mingli@zjnu.edu.cn; ming.li.ltu@gmail.com
addr.: No. 688, Yingbin Road, Wucheng District, Jinhua 321004, Zhejiang, China.
ZJNU (Chinese) | GoogleScholar | ResearchGate | GitHub


I am a ''Shuang Long Scholar'' Distinguished Professor at the Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, China. I received my PhD degree from the Department of Computer Science and Information Technology at La Trobe University, Australia. After that, I have completed two Postdoctoral Fellowship positions with the Department of Mathematics and Statistics, La Trobe University, Australia, and the Department of Information Technology in Education, South China Normal University, China, respectively. I has published in top-tier journals and conferences, including IEEE TPAMI, Artificial Intelligence, IEEE TNNLS, IEEE TKDE, IEEE TCYB, IEEE TII, IEEE TITS, ACM TMOS, Neural Networks, NeurIPS, ICML, IJCAI. I am a member of IEEE, a member of China Computer Federation (CCF), a member of Chinese Association for Artificial Intelligence (CAAI), and an accredited member of Australian Mathematical Society (AustMS). I am a regular reviewer for top journals, including IEEE TPAMI, IEEE TNNLS, IEEE TCYB, IEEE TKDE, IEEE TITS, Pattern Recognition, Neural Networks, Information Sciences, Neurocomputing, etc..

As the leading guest editor, I organized a special issue on “Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications” in IEEE TNNLS, and a special session on "Recent Advances in Deep Learning for Graphs" in the 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science (LOD2022). I am a PC member at top conferences, including NeurIPS, ICML, ICLR, AAAI, IJCAI, KDD, WSDM, ICME, AJCAI, etc, a member of IEEE Task Force on Learning for Structured Data. I am an Associate Editor of Neural Networks, Associate Editor of Applied Intelligence, an Associate Editor of Soft Computing, an Associate Editor of Neural Processing Letters.

I am looking for highly-motivated students to work with me on the exciting area of graph neural networks, graph representation learning, geometric deep learning, etc.